Large language models for business process management: Opportunities and challenges

M Vidgof, S Bachhofner, J Mendling - International Conference on …, 2023 - Springer
Large language models are deep learning models with a large number of parameters. The
models made noticeable progress on a large number of tasks, and as a consequence …

Hybridization of hybrid structures for time series forecasting: A review

Z Hajirahimi, M Khashei - Artificial Intelligence Review, 2023 - Springer
Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

The AI digital revolution in innovation: A conceptual framework of artificial intelligence technologies for the management of innovation

A Brem, F Giones, M Werle - IEEE Transactions on Engineering …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technological field with immense transformative
potential. Within this context, we discuss the diverse ways AI is transforming innovation. We …

[HTML][HTML] Machine learning in business process management: A systematic literature review

S Weinzierl, S Zilker, S Dunzer, M Matzner - Expert Systems with …, 2024 - Elsevier
Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

Deep learning for predictive business process monitoring: Review and benchmark

E Rama-Maneiro, JC Vidal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …

[HTML][HTML] Enhancing intrusion detection in IoT systems: A hybrid metaheuristics-deep learning approach with ensemble of recurrent neural networks

P Sanju - Journal of Engineering Research, 2023 - Elsevier
Significant benefits have been brought to various industries by IoT (Internet of Things), but
new security challenges have also been introduced due to the sheer volume and complexity …

A CRITIC-TOPSIS and optimized nonlinear grey prediction model: A comparative convergence analysis of marine economic resilience

X Li, S Zhou, Y Zhao, G Wan - Expert Systems with Applications, 2024 - Elsevier
The strength of marine economic resilience (MER) determines whether a region can
maintain its original development path or fall into stagnation in the face of economic shock …

[HTML][HTML] Using machine learning in business process re-engineering

Y Al-Anqoudi, A Al-Hamdani, M Al-Badawi… - Big Data and Cognitive …, 2021 - mdpi.com
A business process re-engineering value in improving the business process is undoubted.
Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review …

The role of artificial intelligence in develo** a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)

IE Ahmed, R Mehdi, EA Mohamed - Artificial Intelligence Review, 2023 - Springer
Banking risk measurement and management remain one of many challenges for managers
and policymakers. This study contributes to the banking literature and practice in two ways …